REG – Data Architect

Job Title: Data Architect
Location: Framingham, MA (Onsite, local candidates only)
Duration: 6+ Months
Buy Rate Vendor: $55/hr (Max)
 

Position Overview:

We are looking for a highly skilled Data Architect to design and implement robust data solutions to support Marketing, Sales, and Customer Service functions. The ideal candidate should have hands-on experience with DBT, Snowflake, Python, and Azure, and be well-versed in Big Data and Cloud Platforms. You will be responsible for creating scalable, efficient data architectures that drive personalized customer experiences and support advanced analytics.

Key Responsibilities:

• Architect and implement data solutions across Marketing, Sales, and Customer Service, leveraging technologies such as DBT, Snowflake, and Azure.
• Design and optimize data pipelines integrating various data sources (1st party, 3rd party, operational) to support business intelligence and analytics.
• Develop data models and data flows to enable personalized customer experiences and facilitate omnichannel marketing and customer engagement.
• Ensure data governance, quality, and security across all data initiatives, adhering to regulations like GDPR and CCPA.
• Implement and maintain data warehousing solutions in Snowflake to support large-scale data processing and analytics.
• Use DBT for data transformation and modeling to streamline workflows.
• Leverage Azure for cloud infrastructure, data storage, and real-time data analytics, ensuring scalability and performance.
• Collaborate with cross-functional teams (data engineers, analysts, business stakeholders) to ensure data architectures align with business requirements.
• Support real-time and batch data integration to ensure timely availability of data for actionable insights.
• Continuously evaluate new data technologies to enhance the organization's data capabilities.

Qualifications:

• 7+ years of experience in Data Architecture or Data Engineering, with a focus on DBT, Snowflake, and Azure.
• Expertise in data modeling, ETL/ELT processes, and modern data architecture frameworks.
• Strong experience designing scalable data architectures to support personalization and customer analytics across Marketing, Sales, and Customer Service domains.
• Hands-on experience with cloud platforms like Azure and Big Data technologies for large-scale data processing.
• Proficiency in Python for data engineering tasks and scripting.
• Proven ability in building and managing data pipelines and data warehousing solutions in Snowflake.
• Familiarity with Customer Data Platforms (CDP), Master Data Management (MDM), and Customer 360 architectures.
• Strong problem-solving skills, with the ability to work across teams to translate business requirements into scalable data solutions.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred).

Preferred Qualifications:

• Experience with AI/ML models for customer analytics and personalization.
• Knowledge of data privacy and compliance regulations (GDPR, CCPA).